Peter T. McKenney
- Molecular Biology top 2%
- Infectious Diseases top 1%
- Immunology top 2%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Eric G. PamerPatrick EichenbergerAdam DriksMichael C. AbtJustin R. CrossKrishna KadaveruAlexander Y. RudenskyJoão B. Xavier
- Topics
- Bacteriophages and microbial interactions (6 papers)Bacterial Genetics and Biotechnology (6 papers)Clostridium difficile and Clostridium perfringens research (6 papers)
- Journals
- NatureCellGenes & Development
- Partner nations
- United StatesTaiwanLithuania
In The Last Decade
Peter T. McKenney
16 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 2.8k
- Infectious Diseases 1.4k
- Immunology 939
- Oncology 922
- Epidemiology 517
Countries citing papers authored by Peter T. McKenney
This map shows the geographic impact of Peter T. McKenney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter T. McKenney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. McKenney more than expected).
Fields of papers citing papers by Peter T. McKenney
This network shows the impact of papers produced by Peter T. McKenney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter T. McKenney. The network helps show where Peter T. McKenney may publish in the future.
Co-authorship network of co-authors of Peter T. McKenney
This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. McKenney. A scholar is included among the top collaborators of Peter T. McKenney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter T. McKenney. Peter T. McKenney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bacterial metabolism of bile acids promotes generation of peripheral regulatory T cellsbreakdown → | 598 |
| 2 | 33 | |
| 3 | 46 | |
| 4 | Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironmentbreakdown → | 1250 |
| 5 | 1 | |
| 6 | 10 | |
| 7 | Clostridium difficile colitis: pathogenesis and host defencebreakdown → | 385 |
| 8 | 140 | |
| 9 | Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficilebreakdown → | 1332 |
| 10 | The Bacillus subtilis endospore: assembly and functions of the multilayered coatbreakdown → | 440 |
| 11 | 29 | |
| 12 | 96 | |
| 13 | 116 | |
| 14 | 57 | |
| 15 | 13 | |
| 16 | 43 |
About Peter T. McKenney
Peter T. McKenney is a scholar working on Infectious Diseases, Gastroenterology and Ecology, having authored 16 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Gastroenterology (327 citations) and Immunology (939 citations). Peter T. McKenney has collaborated with scholars based in United States, Taiwan and Lithuania. Frequent co-authors include Eric G. Pamer, Patrick Eichenberger, Adam Driks, Michael C. Abt, Justin R. Cross, Krishna Kadaveru, Alexander Y. Rudensky, João B. Xavier, Eric R. Littmann and Marcel R.M. van den Brink. Their work appears in journals such as Nature, Cell and Genes & Development.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.